Hardware acceleration for zk-proof generation and AI workloads
5× faster proofs and AI processing. 60% less power through one FPGA API.
Who We Are
- Deep FPGA know-how powering verifiable computation and AI workloads.
- Veteran engineers from leading high-performance computing teams.
- Planned SOC2/FIPS‑140‑2 compliance for secure deployments.
- 3× faster with 60% lower power draw than GPU or ASIC designs.
What We Do
Adaptable FPGAs
Rapidly evolving ZK and FHE algorithms
High-speed AI
Model execution without GPU overhead
Custom hardware
Tuned to your exact workload
Real-world throughput
500 proofs/s
How It Works
Our experts assess your requirements, craft a solution, and help integrate it seamlessly into your workflow.
AI Workloads
Scale neural networks efficiently with FPGA or GPU acceleration that keeps costs low.
FPGA vs GPU Performance
- FPGA vs GPU performance data
- Proofs per Second: FPGA 500, GPU 150, CPU 20
- Cost per Proof: FPGA 0.01, GPU 0.03, CPU 0.12
- Energy Consumption: FPGA 20, GPU 50, CPU 130
Why Us
Our experts build reliable acceleration platforms that slash power costs and reduce latency. FPGAs adapt as your algorithms evolve, delivering long-term value well beyond fixed GPU solutions.
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FPGA vs GPU Performance
- FPGA vs GPU performance data
- Proofs per Second: FPGA 500, GPU 150, CPU 20
- Cost per Proof: FPGA 0.01, GPU 0.03, CPU 0.12
- Energy Consumption: FPGA 20, GPU 50, CPU 130
Recent Posts
Why FPGAs Remain the Web3 Choice in 2025
2025-07-15
A look at hardware factors driving Web3 projects toward FPGAs.
FPGA vs GPU for Acceleration
2025-07-01
When to choose FPGAs or GPUs for high-performance tasks.
Accelerating ZK Proofs with FPGAs
2024-06-01
How hardware acceleration speeds up zero-knowledge proof generation.